Financial Data Platform Product Lead

Aumni; Jersey City (NJ); On-site; USD 178,000 - 215,000; Full time

Benefits offered by this job

Health insurance

On-site wellness and retirement plan

Competitive total rewards

Job summary

Aumni is seeking an experienced professional to drive end-to-end analysis, design, and execution of data product deliverables, including enhancements to financial data workflows and visualizations. You will define technology strategy, collaborate across teams, and lead reviews to ensure alignment with business goals.

The role emphasizes scalable dashboards, data models, and platform improvements across Oracle and AWS environments, with a focus on data quality, governance, and automation.

Qualifications

• Bachelor's degree in STEM/finance field plus five years in product/PM/engineering/analyst roles.
• Experience acquiring and managing financial, operational, and reference data with quality controls and lineage.
• Experience designing canonical data models and physical schemas across Oracle and AWS data platforms.

Responsibilities

• End-to-end analysis, design, and execution of project deliverables for data products and APIs.
• Develop and enhance financial data models to support decision making and profitability metrics.
• Lead cross-functional reviews with engineering, business, and operations partners to align requirements.

Skills

Data analysis

Financial data modeling

Data governance and lineage

Cross-functional collaboration

Liquidity risk analysis

Cloud data platforms

Education

Bachelor's degree (Mechanical/Computer/Info Systems/Financial Engineering or related)

Tools

IBM Cognos

Tableau

Oracle

AWS

Job description

Aumni is seeking an experienced professional to drive end-to-end analysis, design, and execution of data product deliverables, including enhancements to financial data workflows and visualizations. You will define technology strategy, collaborate across teams, and lead reviews to ensure alignment with business goals.

The role emphasizes scalable dashboards, data models, and platform improvements across Oracle and AWS environments, with a focus on data quality, governance, and automation.